The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
Toward understanding and exploiting tumor heterogeneity
Open accessAbstract
The extent of tumor heterogeneity is an emerging theme that researchers are only beginning to understand. How genetic and epigenetic heterogeneity affects tumor evolution and clinical progression is unknown. The precise nature of the environmental factors that influence this heterogeneity is also yet to be characterized. Nature Medicine, Nature Biotechnology and the Volkswagen Foundation organized a meeting focused on identifying the obstacles that need to be overcome to advance translational research in and tumor heterogeneity. Once these key questions were established, the attendees devised potential solutions. Their ideas are presented here.
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Citations
Cites
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Self-citationEMT, CSCs, and drug resistance: the mechanistic link and clinical implications
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Scaling single-cell genomics from phenomenology to mechanism
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Conquering the Hypoxia Limitation for Photodynamic Therapy
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Metadata
- Authors
- Alizadeh, A. A., Aranda, V., Bardelli, A., Blanpain, C., Bock, C., Borowski, C., Caldas, C., Califano, A., Doherty, M., Elsner, M., Esteller, M., Fitzgerald, R., Korbel, J. O., Lichter, P., Mason, C. E., Navin, N., Pe'er, D., Polyak, K., Roberts, C. W. M., Siu, L., Snyder, A., Stower, H., Swanton, C., Verhaak, R. G. W., Zenklusen, J. C., Zuber, J., & Zucman-Rossi, J.
- Venue
- Nature Medicine
- Published
- 2015-08
- Volume
- 21
- Issue
- 8
- Pages
- 846-853
- ISSN
- 1078-8956 (ISSN-L)
- 1546-170X
- OpenAlex
- W1943756471
- Cited by
- 746
- References
- 36
- FWCI
- 24.14
- Type
- journal article
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: Toward understanding and exploiting tumor heterogeneity. https://app.cochat.ai/papers/10.1038/nm.3915
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- Alizadeh, A. A., Aranda, V., Bardelli, A., Blanpain, C., Bock, C., Borowski, C., Caldas, C., Califano, A., Doherty, M., Elsner, M., Esteller, M., Fitzgerald, R., Korbel, J. O., Lichter, P., Mason, C. E., Navin, N., Pe'er, D., Polyak, K., Roberts, C. W. M., . . . Zucman-Rossi, J. (2015). Toward understanding and exploiting tumor heterogeneity. Nature Medicine. https://doi.org/10.1038/nm.3915
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.